Education
- Graduate: University of California, San Francisco, 2022
- Undergraduate: Computer Science; University of California, Berkeley, 2017
Research Summary
From the moment that a tumor is born, it is evolving across several levels, including at the genetic, epigenetic, metabolic, and microenvironmental levels. The central goal of the Jones Lab is to develop innovative computational and technological approaches to uncover the mechanisms of tumor evolution, with the ultimate aim of identifying new therapeutic targets and creating predictive models to monitor tumor initiation and progression. Currently, the lab's research focuses on three interrelated goals: (1) investigating the molecular mechanisms underlying the spatiotemporal dynamics of copy-number alterations (particularly extrachromosomal DNA) in cancer populations; (2) developing new computational methods to trace cellular lineages; and (3) elucidating the principles by which tumors are organized over time. To pursue these aims, the lab integrates advances in computation and AI with cutting-edge multi-omic approaches (including single-cell, spatial, and long-read technologies), lineage tracing, and high-resolution imaging. Broadly, they expect that their studies will reveal generalizable rules governing tumor progression and treatment resistance, enable the predictive modeling of tumors, and inspire new approaches to intercept tumor progression.Awards
- Keynote Speaker at Cancer Genetics and Epigenetics Gordon Research Seminar, 2025
- Cancer Grand Challenges Future Leaders Conference Best Talk Awardee, 2024
- NCI K99/R00 Early-Career Pathway to Independence Award, 2024
- UCSF Discovery Fellow, 2019